Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 0.00 -58.00 30.00 7.62 8544
1a -2.00 -52.00 22.00 6.47
1b 8.00 -56.00 28.00 5.14
1c 6.00 -50.00 34.00 4.01
2 -48.00 -62.00 24.00 5.94 15800
2a -48.00 -70.00 8.00 5.69
2b -48.00 -60.00 18.00 5.69
2c -46.00 -70.00 12.00 5.69
3 0.00 16.00 52.00 5.69 12432
3a -4.00 8.00 54.00 5.41
3b 2.00 12.00 62.00 4.59
3c -2.00 28.00 44.00 4.30
4 -42.00 20.00 -8.00 5.41 7320
4a -36.00 18.00 0.00 4.59
4b -44.00 24.00 -10.00 4.30
4c -36.00 20.00 -8.00 4.01
5 54.00 -44.00 12.00 5.41 22936
5a 58.00 -40.00 20.00 5.14
5b 54.00 -46.00 16.00 5.14
5c 46.00 -66.00 4.00 4.87
6 -60.00 -10.00 -12.00 4.59 4720
6a -56.00 -4.00 -18.00 4.01
6b -62.00 -16.00 -14.00 3.43
6c -60.00 -20.00 -4.00 2.80
7 48.00 16.00 32.00 4.59 3936
7a 48.00 12.00 24.00 3.43
7b 48.00 22.00 32.00 2.80
7c 52.00 6.00 34.00 2.11
8 -2.00 54.00 -10.00 4.59 13776
8a -6.00 56.00 12.00 4.30
8b 0.00 56.00 22.00 4.30
8c -2.00 60.00 -10.00 4.01
9 60.00 -4.00 -12.00 4.30 5744
9a 56.00 -2.00 -22.00 3.72
9b 62.00 -10.00 -20.00 3.72
9c 56.00 -10.00 -14.00 3.12
10 38.00 24.00 -6.00 4.01 6216
10a 32.00 18.00 0.00 3.43
10b 44.00 24.00 -4.00 3.43
10c 54.00 24.00 10.00 3.43
11 -48.00 6.00 -28.00 3.72 1160
11a -52.00 6.00 -36.00 1.75
12 -38.00 -42.00 48.00 3.43 3496
12a -46.00 -46.00 46.00 3.12
12b -44.00 -38.00 50.00 3.12
12c -40.00 -50.00 46.00 2.80
13 20.00 -90.00 0.00 3.43 3032
13a 12.00 -82.00 0.00 2.80
13b 22.00 -96.00 10.00 2.46
13c 16.00 -90.00 -4.00 2.46
14 -26.00 -4.00 56.00 3.12 632
15 44.00 -32.00 58.00 3.12 784
15a 44.00 -28.00 46.00 2.46
15b 34.00 -32.00 58.00 2.11
15c 42.00 -30.00 50.00 2.11
16 -46.00 0.00 48.00 2.80 2992
16a -40.00 8.00 32.00 2.80
16b -40.00 6.00 46.00 2.80
16c -42.00 8.00 34.00 2.80
17 26.00 -2.00 60.00 2.80 688
17a 28.00 -4.00 50.00 2.46
17b 22.00 -4.00 56.00 2.11
17c 30.00 6.00 56.00 2.11
18 -48.00 28.00 14.00 2.46 296
18a -52.00 32.00 8.00 2.11
18b -48.00 32.00 18.00 2.11
19 -14.00 6.00 6.00 2.46 312
20 -42.00 -28.00 54.00 2.46 160
20a -34.00 -28.00 56.00 1.75
21 26.00 -6.00 -20.00 2.46 672
21a 28.00 2.00 -16.00 2.11
21b 30.00 -6.00 -16.00 2.11
21c 26.00 -2.00 -26.00 1.75
22 -10.00 -54.00 10.00 2.11 152
23 4.00 -52.00 44.00 2.11 136
24 16.00 -26.00 -2.00 2.11 80
25 38.00 -42.00 -16.00 2.11 288
25a 40.00 -50.00 -20.00 1.75
25b 42.00 -42.00 -12.00 1.75
26 12.00 -14.00 2.00 2.11 104
27 42.00 12.00 -32.00 2.11 168

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.6.0+6.g55f7ea1 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA
kernel \citep{wager2007meta} was used to generate study-wise modeled activation maps from
coordinates. In this kernel method, each coordinate is convolved with a sphere with a radius of
10.0 and a value of 1. For voxels with overlapping spheres, the maximum value was retained. Summary
statistics (OF values) were converted to p-values using an approximate null distribution. The input
dataset included 1920 foci from 251 experiments. False discovery rate correction was performed with
the Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}